Evidence map›Paper›PMID 16779028›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2005

The role of title, metadata and abstract in identifying clinically relevant journal articles.

Dina Demner-Fushman, Susan Hauser, George Thoma

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Automatically identifying health outcome information in MEDLINE records.Journal of the American Medical Informatics Association : JAMIA
    Article
  8. Article
  9. Knowledge-based methods to help clinicians find answers in MEDLINE.Journal of the American Medical Informatics Association : JAMIA
    Article
  10. Essie: a concept-based search engine for structured biomedical text.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dina Demner-FushmanLister Hill National Center for Biomedical Communications, National Library of Medicine, NIH, DHHS, Bethesda, MD, USA.
Susan Hauser
George Thoma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to current clinical information involves searches of bibliographic databases, such as MEDLINE, and subsequent evaluation of retrieval results for relevance to a specific clinical situation and quality of the reported research. We establish the amount of information that needs to be provided by an information retrieval system to assist healthcare practitioners in identifying clinically relevant information and evaluating its potential strength of evidence. We find 92% of titles informative enough for a practitioner to correctly classify publications as clinical, but not sufficient for classification of research quality. We suggest automatic organization of retrieval results into strength of evidence categories to supplement title-based judgments and provide quick access to the abstracts of the most promising articles. We find information in the abstracts sufficient to identify articles potentially immediately useful for clinical decision support. These findings are important to the design of information retrieval systems supporting small, low-bandwidth handheld computers.

Indexed as

Abstracting and IndexingDatabases, BibliographicInformation Storage and RetrievalComputers, HandheldDecision Making, Computer-AssistedHumansMEDLINEPubMed

Identifiers

PMID16779028
PMCPMC1560462

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.